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The
act of making a conscious choice is a behavioral output. A fundamental linkage
exists between this output and some form of input representing that about which
one is reaching a decision. When a choice is made to purchase one car over the
others in a dealer’s lot, for example, the basis for this decision is the
summation of knowledge about cars that the buyer has received in his car-buying
experience through different modalities—visual, auditory, kinesthetic, social
perception. When one chooses to study neurobiology, one makes a choice based on
what one has heard about the field, the visual attraction of fMRI images and pictures
of the brain, and past experience in associated fields. Not surprisingly, food
choice is made through a similarly multi-modal progression of decision-making,
largely dictated by neural processes. The choice to consume a particular food
item is made based on a wealth of visual, olfactory and gustatory information,
as well as the persistent firing and communication of interneurons, which bring
to the table past experiences from the hippocampal memory center, emotional
triggers for food desires from the limbic system, evolutionary adaptive
information, and implicitly conditioned responses.
The
visual modality is one that affords the brain the ability to glean information in
many dimensions. In looking at a pizza pie and attempting the selection of a piece
to eat, one can receive visual input that is translated by internuerons into
salient information about each slice’s size, depth of crust, amount of cheese,
brightness of sauce, temperature (based on steam rising from its surface), and
any number of other traits of the pizza slice. All of these pieces of visual
information are then analyzed by the brain so that a decision can be reached.
While the pathway by which this decision-making process occurs is not easily
explained, there may be an adaptive, evolutionary force behind the actions of
the brain leading to the behavior of choice. A recent study by Toepel, et al.
employed multiple hemodynamic imaging methods and Visual Evoked Potentials to
record neural activation in response to food images depicting high-fat and
low-fat foods (2009). The literature provides evidence that within the
prefrontal region of the brain and the orbitofrontal cortex (OFC), cortical and
sub-cortical networks react to visual stimuli in the form of food and simple
images of food, in addition to previously determined reaction to gustatory and
olfactory food stimuli (de Araujo, 2003).
The neural
response to food stimuli—in the visual, gustatory and olfactory
modalities—occur within the OFC, a region of association cortex that is highly
relevant in the psychological processes of learning and extinction (Shepherd
2006). Research has established
that much of the taste and olfactory systems are located in the prefrontal
cortex and both project to, and converge on the OFC, where images of food led
to neural activity in the study by de Araujo, et al. (2003). The location of
the olfaction and gestation centers in the brain were discovered through the
experimental recording of neural response to an olfactory stimulus alone, a
gustatory stimulus alone, and then the response to having both stimuli present
at once (Small 2005). If these were two separate processes, it would be
expected that the response to both stimuli together would be equal to the sum
of the two stimuli alone. In fact, the response when both stimuli were
presented together was much enhanced from the sum of the two independent
responses, so we can define olfaction and gestation as inherently
interconnected (Small 2005).
The previously
mentioned study by Toepel examined the ability of the brain to implicitly judge
food items based on their potential to provide energy, fat and general
sustenance. Knowing that images of food elicit responses in the OFC, the study
presented subjects with pictures of low and high fat food items and found, by
examining their unintentionally grouped VEPs in response to the image and the
‘food or non-food’ classifying task with which they were presented, that
subjects experience the two groups differently, a phenomenon that likely leads
people to make decisions about eating from the two groups in divergent ways.
(Toepel 2009). It has been suggested that this discrepancy between VEPs of low
and high fat food items supports the vastly researched evolutionary principle
that animals, primates in particular, have natural identification abilities
toward food, which allow us to respond negatively to, for example, extreme
bitterness—a possible sign of toxicity—and remain healthy so as to protect our
group and promulgate the species (Shepherd 2006).
Our natural instinct
toward certain foods can provide an evolutionary explanation for the
fascination toward brightly colored foods and foods that are sugary and filled
with quick-delivering energy in the form of polysaccharides. Similarly, the
primate tendency to lose desire for a given food item after having satisfied a
prior craving for it allows for more variety of diet and thus a greater
likelihood that nutrients and essential amino acids, those which cannot be
synthesized by the body, will be consumed (Shepherd 2006). Further, neuronal
activation in response to taste and nasal stimuli, based on single-cell
recordings in monkeys, are highly tied to the environment into which the monkey
is placed and the presence of learning and reward tasks. Conditioning provides
a mechanism by which food preferences can be developed by means of implicitly
learned negative response to foods that, in the past, have led to unpleasant
physiological or mental reactions or events (Shepherd 2006). In addition,
eating “activates neural substrates in a similar manner to drugs of abuse,”
activating GABA and dopamine neurotransmitters, emphasizing a calming effect
and encouraging the desire for continued eating and the attainment of more
nutrients (Gibson 2006).
From the
literature it is clear that there are an astounding number of neural input,
activation and output forces that could be driving food choice. It is
interesting, bearing in mind this ample selection of neurological and
physiological implicit motivations toward choice, to consider the function of
the brain in making a choice. Not only does the brain make a selection based on
one or a combination of these myriad directions from which to reach a decision,
but it must make the choice as to which of these neural and sensory inputs it
will adhere. The framework depicted by an Emily Dickenson poem, that all human
experiences, and the environmental “realities” by which we are surrounded, are
constructions of the mind, can be applied here (Dickinson 2009). According to
this way of viewing science and the world, the many influences on food choice
are constructions of the mind and thus, the process of making a choice is not
neurological; no more is it an active process of selection. In the sense that
the choice being made is not the choice of food item, but rather the choice of
mental process, decision making evolves from the simple selection of the
construction, which will act to determine the food choice itself. The final
output of a decision-making process is the selection of a particular ‘construction
of the mind’ reality. The path leading up to this selection, however, is the
brains choice of which construction of the mind will have precedent and will
dictate the output selection which we see enacted as behavior.
If
it is to be assumed that the process of coming to a decision is analogous to
the process of the brain selecting a construction of the mind as the factor to
which it will hold in its choice of food, we must expand further. How can the
brain, clearly a part of our ‘reality’ and thus subject to Dickenson’s rule, be
a construction of the mind, if its main role in decision making is the process
by which another construction of the mind is chosen?
Works Cited
De
Araujo, I.E., Rolls, E.T., Kringelbach, M.L., McGlone, F., Phillips, N., 2003.
Taste-olfactory convergence, and the representation of the pleasantness of
flavour in the human brain. European Journal of Neuroscience. 18(7), 2059-2068.
Dickinson , E. “The
Brain-is Wider Than the Sky.” Retrieved February 23, 2009, from
Neurobiology and Behavior, Spring, 2009 Web site: http://serendip.brynmawr.edu/exchange/courses/bio202/s09/home
Gibson, E.L., 2006. Emotional influences on
food choice: Sensory, physiological and psychological pathways. Physiology and
Behavior. 89, 53-61.
Shepherd, G.M., 2006. Smell images and the
flavour system in the human brain. Nature. 444(16), 316-321.
Toepel, U., Knebel, J-F., Hudry, J., le
Coutre, J., Murray,
M.M., 2009. The brain tracks the energetic value in food images. NeuroImage.
44, 967-974.
brain and food choice: who's constructing what?
I'm intrigued. Do you think the investigators you refer to earlier in your paper thought of it this way? Would they do research differently if they did?
Re: brain and food choice: who's constructing what?
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